Overview

Dataset statistics

Number of variables15
Number of observations32
Missing cells20
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory131.1 B

Variable types

Categorical6
Text3
Numeric4
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,실립유형,3세 수업일수,4세 수업일수,5세 수업일수,혼합연령수업일수,특수학급수업일수,방과후 과정수업일수,법정일수이하여부,신설유치원여부,공시차수,주소
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-20682/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
법정일수이하여부 has constant value ""Constant
신설유치원여부 has constant value ""Constant
공시차수 is highly overall correlated with 3세 수업일수 and 2 other fieldsHigh correlation
실립유형 is highly overall correlated with 방과후 과정수업일수 and 1 other fieldsHigh correlation
특수학급수업일수 is highly overall correlated with 3세 수업일수 and 3 other fieldsHigh correlation
혼합연령수업일수 is highly overall correlated with 5세 수업일수 and 3 other fieldsHigh correlation
3세 수업일수 is highly overall correlated with 4세 수업일수 and 4 other fieldsHigh correlation
4세 수업일수 is highly overall correlated with 3세 수업일수 and 2 other fieldsHigh correlation
5세 수업일수 is highly overall correlated with 3세 수업일수 and 3 other fieldsHigh correlation
방과후 과정수업일수 is highly overall correlated with 3세 수업일수 and 2 other fieldsHigh correlation
혼합연령수업일수 is highly imbalanced (65.8%)Imbalance
특수학급수업일수 is highly imbalanced (53.4%)Imbalance
공시차수 is highly imbalanced (63.4%)Imbalance
3세 수업일수 has 6 (18.8%) missing valuesMissing
4세 수업일수 has 4 (12.5%) missing valuesMissing
5세 수업일수 has 2 (6.2%) missing valuesMissing
법정일수이하여부 has 4 (12.5%) missing valuesMissing
신설유치원여부 has 4 (12.5%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 06:09:44.779174
Analysis finished2024-03-13 06:09:48.526394
Duration3.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
서울특별시교육청
32 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시교육청
2nd row서울특별시교육청
3rd row서울특별시교육청
4th row서울특별시교육청
5th row서울특별시교육청

Common Values

ValueCountFrequency (%)
서울특별시교육청 32
100.0%

Length

2024-03-13T15:09:48.826301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:09:48.928481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 32
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
성동광진교육지원청
32 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성동광진교육지원청
2nd row성동광진교육지원청
3rd row성동광진교육지원청
4th row성동광진교육지원청
5th row성동광진교육지원청

Common Values

ValueCountFrequency (%)
성동광진교육지원청 32
100.0%

Length

2024-03-13T15:09:49.041941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:09:49.137304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동광진교육지원청 32
100.0%

유치원코드
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T15:09:49.371042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1152
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed19-b044-e053-0a32095ab044
2nd row1ecec08c-f424-b044-e053-0a32095ab044
3rd row1ecec08c-f507-b044-e053-0a32095ab044
4th row1ecec08c-f526-b044-e053-0a32095ab044
5th row1ecec08c-f8d0-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed19-b044-e053-0a32095ab044 1
 
3.1%
1ecec08c-f424-b044-e053-0a32095ab044 1
 
3.1%
c86bfe33-312b-465b-ae84-67bdc4e80ab3 1
 
3.1%
907fd160-25a1-4048-8de4-27e545ebd656 1
 
3.1%
442ef88e-43d6-4048-a12d-ed742301b58a 1
 
3.1%
1ecec08d-0f50-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0f39-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0f38-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0e81-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0e4c-b044-e053-0a32095ab044 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T15:09:49.724674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 203
17.6%
4 135
11.7%
- 128
11.1%
e 102
8.9%
3 71
 
6.2%
b 70
 
6.1%
5 70
 
6.1%
c 69
 
6.0%
a 68
 
5.9%
8 46
 
4.0%
Other values (7) 190
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
57.3%
Lowercase Letter 364
31.6%
Dash Punctuation 128
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 203
30.8%
4 135
20.5%
3 71
 
10.8%
5 70
 
10.6%
8 46
 
7.0%
2 41
 
6.2%
1 40
 
6.1%
9 36
 
5.5%
6 10
 
1.5%
7 8
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 102
28.0%
b 70
19.2%
c 69
19.0%
a 68
18.7%
d 38
 
10.4%
f 17
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 788
68.4%
Latin 364
31.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 203
25.8%
4 135
17.1%
- 128
16.2%
3 71
 
9.0%
5 70
 
8.9%
8 46
 
5.8%
2 41
 
5.2%
1 40
 
5.1%
9 36
 
4.6%
6 10
 
1.3%
Latin
ValueCountFrequency (%)
e 102
28.0%
b 70
19.2%
c 69
19.0%
a 68
18.7%
d 38
 
10.4%
f 17
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 203
17.6%
4 135
11.7%
- 128
11.1%
e 102
8.9%
3 71
 
6.2%
b 70
 
6.1%
5 70
 
6.1%
c 69
 
6.0%
a 68
 
5.9%
8 46
 
4.0%
Other values (7) 190
16.5%

유치원명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T15:09:49.946027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.71875
Min length4

Characters and Unicode

Total characters279
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row서울마장초등학교병설유치원
2nd row아이들세상유치원
3rd row경동유치원
4th row송곡유치원
5th row성심유치원
ValueCountFrequency (%)
서울마장초등학교병설유치원 1
 
3.1%
아이들세상유치원 1
 
3.1%
서울경일초등학교병설유치원 1
 
3.1%
서울금호초등학교병설유치원 1
 
3.1%
서울동명초등학교병설유치원 1
 
3.1%
로사유치원 1
 
3.1%
서울옥정초등학교병설유치원 1
 
3.1%
서울사근초등학교병설유치원 1
 
3.1%
서울숭신초등학교병설유치원 1
 
3.1%
조은유치원 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T15:09:50.258135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

실립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
공립(병설)
13 
사립(사인)
13 
사립(법인)
5 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row공립(병설)
2nd row사립(사인)
3rd row사립(사인)
4th row사립(법인)
5th row사립(법인)

Common Values

ValueCountFrequency (%)
공립(병설) 13
40.6%
사립(사인) 13
40.6%
사립(법인) 5
 
15.6%
공립(단설) 1
 
3.1%

Length

2024-03-13T15:09:50.399026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:09:50.488683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립(병설 13
40.6%
사립(사인 13
40.6%
사립(법인 5
 
15.6%
공립(단설 1
 
3.1%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct11
Distinct (%)42.3%
Missing6
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean196.38462
Minimum180
Maximum230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T15:09:50.578166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180.25
Q1181
median181
Q3212.5
95-th percentile223.75
Maximum230
Range50
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.264889
Coefficient of variation (CV)0.0930057
Kurtosis-1.551243
Mean196.38462
Median Absolute Deviation (MAD)1
Skewness0.49290397
Sum5106
Variance333.60615
MonotonicityNot monotonic
2024-03-13T15:09:50.693002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
181 12
37.5%
220 3
 
9.4%
208 2
 
6.2%
180 2
 
6.2%
210 1
 
3.1%
211 1
 
3.1%
193 1
 
3.1%
230 1
 
3.1%
213 1
 
3.1%
225 1
 
3.1%
(Missing) 6
18.8%
ValueCountFrequency (%)
180 2
 
6.2%
181 12
37.5%
193 1
 
3.1%
208 2
 
6.2%
210 1
 
3.1%
211 1
 
3.1%
213 1
 
3.1%
216 1
 
3.1%
220 3
 
9.4%
225 1
 
3.1%
ValueCountFrequency (%)
230 1
 
3.1%
225 1
 
3.1%
220 3
 
9.4%
216 1
 
3.1%
213 1
 
3.1%
211 1
 
3.1%
210 1
 
3.1%
208 2
 
6.2%
193 1
 
3.1%
181 12
37.5%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)46.4%
Missing4
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean196.32143
Minimum180
Maximum230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T15:09:50.810132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median181
Q3213.25
95-th percentile223.25
Maximum230
Range50
Interquartile range (IQR)32.25

Descriptive statistics

Standard deviation18.039162
Coefficient of variation (CV)0.091885855
Kurtosis-1.5764971
Mean196.32143
Median Absolute Deviation (MAD)1
Skewness0.45955268
Sum5497
Variance325.41138
MonotonicityNot monotonic
2024-03-13T15:09:50.928701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
181 12
37.5%
180 3
 
9.4%
208 2
 
6.2%
220 2
 
6.2%
214 1
 
3.1%
210 1
 
3.1%
211 1
 
3.1%
193 1
 
3.1%
230 1
 
3.1%
217 1
 
3.1%
Other values (3) 3
 
9.4%
(Missing) 4
 
12.5%
ValueCountFrequency (%)
180 3
 
9.4%
181 12
37.5%
193 1
 
3.1%
208 2
 
6.2%
210 1
 
3.1%
211 1
 
3.1%
213 1
 
3.1%
214 1
 
3.1%
216 1
 
3.1%
217 1
 
3.1%
ValueCountFrequency (%)
230 1
3.1%
225 1
3.1%
220 2
6.2%
217 1
3.1%
216 1
3.1%
214 1
3.1%
213 1
3.1%
211 1
3.1%
210 1
3.1%
208 2
6.2%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct17
Distinct (%)56.7%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean198.16667
Minimum180
Maximum230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T15:09:51.030257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180.45
Q1181
median187.5
Q3215
95-th percentile225.55
Maximum230
Range50
Interquartile range (IQR)34

Descriptive statistics

Standard deviation18.69
Coefficient of variation (CV)0.094314549
Kurtosis-1.7010132
Mean198.16667
Median Absolute Deviation (MAD)7.5
Skewness0.31891562
Sum5945
Variance349.31609
MonotonicityNot monotonic
2024-03-13T15:09:51.131188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
181 12
37.5%
180 2
 
6.2%
210 2
 
6.2%
212 1
 
3.1%
211 1
 
3.1%
223 1
 
3.1%
221 1
 
3.1%
220 1
 
3.1%
208 1
 
3.1%
193 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
180 2
 
6.2%
181 12
37.5%
182 1
 
3.1%
193 1
 
3.1%
208 1
 
3.1%
209 1
 
3.1%
210 2
 
6.2%
211 1
 
3.1%
212 1
 
3.1%
216 1
 
3.1%
ValueCountFrequency (%)
230 1
3.1%
226 1
3.1%
225 1
3.1%
223 1
3.1%
221 1
3.1%
220 1
3.1%
217 1
3.1%
216 1
3.1%
212 1
3.1%
211 1
3.1%

혼합연령수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
222
 
1
191
 
1
226
 
1
220
 
1

Length

Max length4
Median length4
Mean length3.875
Min length3

Unique

Unique4 ?
Unique (%)12.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
222 1
 
3.1%
191 1
 
3.1%
226 1
 
3.1%
220 1
 
3.1%

Length

2024-03-13T15:09:51.274029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:09:51.386202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
222 1
 
3.1%
191 1
 
3.1%
226 1
 
3.1%
220 1
 
3.1%

특수학급수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
181
4 
180
 
1

Length

Max length4
Median length4
Mean length3.84375
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
181 4
 
12.5%
180 1
 
3.1%

Length

2024-03-13T15:09:51.514014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:09:51.634234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
181 4
 
12.5%
180 1
 
3.1%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.53125
Minimum74
Maximum275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T15:09:51.715577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile218.65
Q1229.25
median236
Q3249
95-th percentile253.45
Maximum275
Range201
Interquartile range (IQR)19.75

Descriptive statistics

Standard deviation31.89295
Coefficient of variation (CV)0.13598593
Kurtosis21.957611
Mean234.53125
Median Absolute Deviation (MAD)13
Skewness-4.2765244
Sum7505
Variance1017.1603
MonotonicityNot monotonic
2024-03-13T15:09:51.815500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
249 7
21.9%
236 4
12.5%
250 3
9.4%
230 3
9.4%
233 2
 
6.2%
227 2
 
6.2%
226 2
 
6.2%
237 1
 
3.1%
217 1
 
3.1%
220 1
 
3.1%
Other values (6) 6
18.8%
ValueCountFrequency (%)
74 1
 
3.1%
217 1
 
3.1%
220 1
 
3.1%
225 1
 
3.1%
226 2
6.2%
227 2
6.2%
230 3
9.4%
233 2
6.2%
236 4
12.5%
237 1
 
3.1%
ValueCountFrequency (%)
275 1
 
3.1%
254 1
 
3.1%
253 1
 
3.1%
251 1
 
3.1%
250 3
9.4%
249 7
21.9%
237 1
 
3.1%
236 4
12.5%
233 2
 
6.2%
230 3
9.4%

법정일수이하여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.6%
Missing4
Missing (%)12.5%
Memory size196.0 B
False
28 
(Missing)
4 
ValueCountFrequency (%)
False 28
87.5%
(Missing) 4
 
12.5%
2024-03-13T15:09:51.908451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.6%
Missing4
Missing (%)12.5%
Memory size196.0 B
False
28 
(Missing)
4 
ValueCountFrequency (%)
False 28
87.5%
(Missing) 4
 
12.5%
2024-03-13T15:09:51.973523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
20231
28 
20191
 
2
20201
 
1
20181
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row20231
2nd row20231
3rd row20231
4th row20201
5th row20231

Common Values

ValueCountFrequency (%)
20231 28
87.5%
20191 2
 
6.2%
20201 1
 
3.1%
20181 1
 
3.1%

Length

2024-03-13T15:09:52.056859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:09:52.178409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 28
87.5%
20191 2
 
6.2%
20201 1
 
3.1%
20181 1
 
3.1%

주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T15:09:52.371861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.03125
Min length16

Characters and Unicode

Total characters577
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 마장로35나길 31
2nd row서울특별시 성동구 독서당로 272
3rd row서울특별시 성동구 금호로 100
4th row서울특별시 성동구 무학로6길 41
5th row서울특별시 성동구 무학로10길 21
ValueCountFrequency (%)
서울특별시 32
25.0%
성동구 32
25.0%
독서당로 4
 
3.1%
21 4
 
3.1%
살곶이길 2
 
1.6%
50 2
 
1.6%
35 2
 
1.6%
마장로 1
 
0.8%
무학로 1
 
0.8%
금호로1길 1
 
0.8%
Other values (47) 47
36.7%
2024-03-13T15:09:52.724270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
16.6%
서 37
 
6.4%
성 34
 
5.9%
동 34
 
5.9%
특 32
 
5.5%
별 32
 
5.5%
시 32
 
5.5%
구 32
 
5.5%
울 32
 
5.5%
길 22
 
3.8%
Other values (45) 194
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
66.4%
Decimal Number 98
 
17.0%
Space Separator 96
 
16.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 37
9.7%
성 34
8.9%
동 34
8.9%
특 32
8.4%
별 32
8.4%
시 32
8.4%
구 32
8.4%
울 32
8.4%
길 22
 
5.7%
로 22
 
5.7%
Other values (34) 74
19.3%
Decimal Number
ValueCountFrequency (%)
1 22
22.4%
2 20
20.4%
3 12
12.2%
4 9
9.2%
5 9
9.2%
0 8
 
8.2%
9 7
 
7.1%
6 6
 
6.1%
7 4
 
4.1%
8 1
 
1.0%
Space Separator
ValueCountFrequency (%)
96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
66.4%
Common 194
33.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 37
9.7%
성 34
8.9%
동 34
8.9%
특 32
8.4%
별 32
8.4%
시 32
8.4%
구 32
8.4%
울 32
8.4%
길 22
 
5.7%
로 22
 
5.7%
Other values (34) 74
19.3%
Common
ValueCountFrequency (%)
96
49.5%
1 22
 
11.3%
2 20
 
10.3%
3 12
 
6.2%
4 9
 
4.6%
5 9
 
4.6%
0 8
 
4.1%
9 7
 
3.6%
6 6
 
3.1%
7 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
66.4%
ASCII 194
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
49.5%
1 22
 
11.3%
2 20
 
10.3%
3 12
 
6.2%
4 9
 
4.6%
5 9
 
4.6%
0 8
 
4.1%
9 7
 
3.6%
6 6
 
3.1%
7 4
 
2.1%
Hangul
ValueCountFrequency (%)
서 37
9.7%
성 34
8.9%
동 34
8.9%
특 32
8.4%
별 32
8.4%
시 32
8.4%
구 32
8.4%
울 32
8.4%
길 22
 
5.7%
로 22
 
5.7%
Other values (34) 74
19.3%

Interactions

2024-03-13T15:09:47.712612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:46.536105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:46.902950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:47.336982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:47.804051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:46.669125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:47.013854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:47.424227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:47.888456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:46.744283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:47.131542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:47.503336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:47.978371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:46.817446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:47.232093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:09:47.605445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T15:09:52.821226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
실립유형1.0001.0001.0000.6650.6770.7031.0000.0000.9370.2951.000
3세 수업일수1.0001.0000.6651.0001.0000.990NaNNaN0.362NaN1.000
4세 수업일수1.0001.0000.6771.0001.0000.993NaNNaN0.3430.0001.000
5세 수업일수1.0001.0000.7030.9900.9931.0000.000NaN0.3070.4181.000
혼합연령수업일수1.0001.0001.000NaNNaN0.0001.000NaNNaN1.0001.000
특수학급수업일수1.0001.0000.000NaNNaNNaNNaN1.0000.000NaN1.000
방과후 과정수업일수1.0001.0000.9370.3620.3430.307NaN0.0001.0000.0001.000
공시차수1.0001.0000.295NaN0.0000.4181.000NaN0.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T15:09:52.960307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수실립유형특수학급수업일수혼합연령수업일수
공시차수1.0000.1041.0001.000
실립유형0.1041.0000.0001.000
특수학급수업일수1.0000.0001.000NaN
혼합연령수업일수1.0001.000NaN1.000
2024-03-13T15:09:53.068738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수방과후 과정수업일수실립유형혼합연령수업일수특수학급수업일수공시차수
3세 수업일수1.0001.0000.965-0.6380.498NaN1.0001.000
4세 수업일수1.0001.0000.974-0.4800.4490.0001.0000.000
5세 수업일수0.9650.9741.000-0.4530.4751.0001.0000.000
방과후 과정수업일수-0.638-0.480-0.4531.0000.6651.0000.0000.000
실립유형0.4980.4490.4750.6651.0001.0000.0000.104
혼합연령수업일수NaN0.0001.0001.0001.0001.0000.0001.000
특수학급수업일수1.0001.0001.0000.0000.0000.0001.0001.000
공시차수1.0000.0000.0000.0000.1041.0001.0001.000

Missing values

2024-03-13T15:09:48.110713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T15:09:48.292540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-13T15:09:48.428043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
0서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 성동구 마장로35나길 31
1서울특별시교육청성동광진교육지원청1ecec08c-f424-b044-e053-0a32095ab044아이들세상유치원사립(사인)208208208<NA><NA>217NN20231서울특별시 성동구 독서당로 272
2서울특별시교육청성동광진교육지원청1ecec08c-f507-b044-e053-0a32095ab044경동유치원사립(사인)<NA>214212<NA><NA>230NN20231서울특별시 성동구 금호로 100
3서울특별시교육청성동광진교육지원청1ecec08c-f526-b044-e053-0a32095ab044송곡유치원사립(법인)<NA>180180<NA><NA>220<NA><NA>20201서울특별시 성동구 무학로6길 41
4서울특별시교육청성동광진교육지원청1ecec08c-f8d0-b044-e053-0a32095ab044성심유치원사립(법인)210210210<NA><NA>230NN20231서울특별시 성동구 무학로10길 21
5서울특별시교육청성동광진교육지원청1ecec08c-fe09-b044-e053-0a32095ab044옥수삼성유치원사립(사인)211211211<NA><NA>226NN20231서울특별시 성동구 독서당로 218
6서울특별시교육청성동광진교육지원청1ecec08d-00be-b044-e053-0a32095ab044세성유치원사립(사인)<NA><NA>223222<NA>250NN20231서울특별시 성동구 독서당로 434
7서울특별시교육청성동광진교육지원청1ecec08d-01d5-b044-e053-0a32095ab044서울용답초등학교병설유치원공립(병설)180180180<NA>180249NN20231서울특별시 성동구 용답25길 1
8서울특별시교육청성동광진교육지원청1ecec08d-029d-b044-e053-0a32095ab044서울송원초등학교병설유치원공립(병설)180180181<NA><NA>249NN20231서울특별시 성동구 동일로43길 9
9서울특별시교육청성동광진교육지원청1ecec08d-02a8-b044-e053-0a32095ab044율화유치원사립(사인)220220221<NA><NA>236NN20231서울특별시 성동구 고산자로2길 35
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
22서울특별시교육청성동광진교육지원청1ecec08d-0e4b-b044-e053-0a32095ab044옥수예일유치원사립(사인)213213210<NA><NA>227NN20231서울특별시 성동구 독서당로 191
23서울특별시교육청성동광진교육지원청1ecec08d-0e4c-b044-e053-0a32095ab044조은유치원사립(사인)225225225<NA><NA>225NN20231서울특별시 성동구 살곶이길 50
24서울특별시교육청성동광진교육지원청1ecec08d-0e81-b044-e053-0a32095ab044서울숭신초등학교병설유치원공립(병설)181181181<NA>181251NN20231서울특별시 성동구 마장로 161
25서울특별시교육청성동광진교육지원청1ecec08d-0f38-b044-e053-0a32095ab044서울사근초등학교병설유치원공립(병설)181181181<NA>181275NN20231서울특별시 성동구 사근동11길 16
26서울특별시교육청성동광진교육지원청1ecec08d-0f39-b044-e053-0a32095ab044서울옥정초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 성동구 한림말길 43
27서울특별시교육청성동광진교육지원청1ecec08d-0f50-b044-e053-0a32095ab044로사유치원사립(법인)216216216<NA><NA>226NN20231서울특별시 성동구 성덕정길 23
28서울특별시교육청성동광진교육지원청442ef88e-43d6-4048-a12d-ed742301b58a서울동명초등학교병설유치원공립(병설)181181181<NA><NA>253NN20231서울특별시 성동구 마장로29길 29
29서울특별시교육청성동광진교육지원청907fd160-25a1-4048-8de4-27e545ebd656서울금호초등학교병설유치원공립(병설)181181181<NA>181254NN20231서울특별시 성동구 무수막길 69
30서울특별시교육청성동광진교육지원청c86bfe33-312b-465b-ae84-67bdc4e80ab3서울경일초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 성동구 뚝섬로 332
31서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 성동구 무학봉15길 21